Pith. sign in

REVIEW 1 cited by

A multidimensional grid-adaptive relativistic magnetofluid code

Not yet reviewed by Pith; the record is open.

This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.

SPECIMEN: schema-true, not a live event

T0 review · schema-true

One-sentence machine reading of the paper's core claim.

pith:XXXXXXXX · record.json · timestamp

arxiv 0807.0713 v1 pith:OBTEYAAX submitted 2008-07-04 astro-ph

A multidimensional grid-adaptive relativistic magnetofluid code

classification astro-ph
keywords relativisticmagneticprimitiveschemeadaptiveapproachbasechains
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
0 comments
read the original abstract

A robust second order, shock-capturing numerical scheme for multi-dimensional special relativistic magnetohydrodynamics on computational domains with adaptive mesh refinement is presented. The base solver is a total variation diminishing Lax-Friedrichs scheme in a finite volume setting and is combined with a diffusive approach for controlling magnetic monopole errors. The consistency between the primitive and conservative variables is ensured at all limited reconstructions and the spatial part of the four velocity is used as a primitive variable. Demonstrative relativistic examples are shown to validate the implementation. We recover known exact solutions to relativistic MHD Riemann problems, and simulate the shock-dominated long term evolution of Lorentz factor 7 vortical flows distorting magnetic island chains.

discussion (0)

Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.

Forward citations

Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score.

  1. Astrophysics on GPUs: introducing AGILE 1.0

    astro-ph.IM 2026-07 conditional novelty 6.0

    AGILE 1.0 is a GPU-AMR framework for astrophysical conservation laws that demonstrates ~2e9 CUPS on a B200 GPU, strong scaling to 2048 GPUs, and production-style applications in HD, FFHD, MHD, and SRHD.